Demographic and Regional Trends of Mortality in Patients With Acute Myocardial Infarction in the United States, 1999 to 2019

Lipidomic analyses reveal potential biomarkers for predicting death and heart failure after acute myocardial infarction

Background Acute myocardial infarction (AMI) and postmyocardial infarction heart failure (pMIHF) have high mortality rates worldwide. This study aimed to explore lipidomic profiles and identify potential biomarkers for the prediction of death and heart failure (HF) after AMI. Methods All serum samples were collected at Xuanwu Hospital, Capital Medical University, and their clinical characteristics and lipidomic profiles were analyzed in different groups. LC-MS/MS was used for lipidomic analyses, and underlying biomarkers were screened by receiver operating characteristic (ROC) curve analysis. Results Lipidomic analyses of the survival and nonsurvival groups revealed that the decrease of the content of SM (d18:1/22:0), PE (P-20:1/18:0), PC (18:2), LPE (18:2), PE (P-20:0/18:0), LPC (18:0) and PC (20:0/20:3) while increase of the content of PG (18:1/18:1) could increase the risk of death after AMI. In parallel, the lipidomic analysis of the HF and non-HF groups revealed that the decrease of the content of PC (20:3/20:4), LPC (20:3), LPC (18:0), LPC (18:2), LPC (20:0), LPC (18:3), LPE (16:1) and PC (18:2/20:3) could increase the risk of HF after AMI. Conclusion Several lipids could be potential biomarkers for the prediction of death and HF after AMI.

Impact of right ventricular failure on the outcomes of acute inferior wall myocardial infarction

Aim: Right ventricular failure (RVF) complicates 30-50% of cases with inferior wall myocardial infarctions (IWMI). Large-scale studies exploring the recent trends in morbidity and mortality of IWMI with RVF in the context of improved reperfusion strategies are currently lacking. Materials & methods: The International Classification of Diseases, Tenth Revision, Clinical Modification codes were used to query the National Inpatient Sample of 2018-2019 to yield IWMI admissions and stratified based on presence of RVF. The primary outcome was in-hospital mortality. Results: Out of the 182,485 weighed hospital admissions for IWMI, 1005 patients (0.6%) also had RVF. Patients with both IWMI and RVF had significantly higher mortality than patients with IWMI and no RVF (p < 0.001). Conclusion: RVF in patients with IWMI is an independent predictor of poor outcomes.

Sex and Racial Disparities in Proportionate Mortality of Premature Myocardial Infarction in the United States: 1999 to 2020

BACKGROUND

The incidence of premature myocardial infarction (PMI) in women (<65 years and men <55 years) is increasing. We investigated proportionate mortality trends in PMI stratified by sex, race, and ethnicity.

METHODS AND RESULTS

CDC WONDER (Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research) was queried to identify PMI deaths within the United States between 1999 and 2020, and trends in proportionate mortality of PMI were calculated using the Joinpoint regression analysis. We identified 3 017 826 acute myocardial infarction deaths, with 373 317 PMI deaths corresponding to proportionate mortality of 12.5% (men 12%, women 14%). On trend analysis, proportionate mortality of PMI increased from 10.5% in 1999 to 13.2% in 2020 (average annual percent change of 1.0 [0.8-1.2, P <0.01]) with a significant increase in women from 10% in 1999 to 17% in 2020 (average annual percent change of 2.4 [1.8-3.0, P <0.01]) and no significant change in men, 11% in 1999 to 10% in 2020 (average annual percent change of -0.2 [-0.7 to 0.3, P=0.4]). There was a significant increase in proportionate mortality in both Black and White populations, with no difference among American Indian/Alaska Native, Asian/Pacific Islander, or Hispanic people. American Indian/Alaska Natives had the highest PMI mortality with no significant change over time.

CONCLUSIONS

Over the last 2 decades, there has been a significant increase in the proportionate mortality of PMI in women and the Black population, with persistently high PMI in American Indian/Alaska Natives, despite an overall downtrend in acute myocardial infarction-related mortality. Further research to determine the underlying cause of these differences in PMI mortality is required to improve the outcomes after acute myocardial infarction in these populations.

Trends and Disparities in Valvular Heart Disease Mortality in the United States From 1999 to 2020

BACKGROUND

Percutaneous heart valve procedures have been increasingly performed over the past decade, yet real-world mortality data on valvular heart disease (VHD) in the United States remain limited.

METHODS AND RESULTS

We queried the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research database among patients ≥15 years old from 1999 to 2020. VHD and its subtypes were listed as the underlying cause of death. We calculated age-adjusted mortality rate (AAMR) per 100 000 individuals and determined overall trends by estimating the average annual percent change using the Joinpoint regression program. Subgroup analyses were performed based on demographic and geographic factors. In the 22-year study, there were 446 096 VHD deaths, accounting for 0.80% of all-cause mortality (56 014 102 people) and 2.38% of the total cardiovascular mortality (18 759 451 people). Aortic stenosis recorded the highest mortality of VHD-related death in both male (109 529, 61.74%) and female (166 930, 62.13%) populations. The AAMR of VHD has declined from 8.4 (95% CI, 8.2-8.5) to 6.6 (95% CI, 6.5-6.7) per 100 000 population. Similar decreasing AAMR trends were also seen for the VHD subtypes. Men recorded higher AAMR for aortic stenosis and aortic regurgitation, whereas women had higher AAMR for mitral stenosis and mitral regurgitation. Mitral regurgitation had the highest change in average annual percent change in AAMR.

CONCLUSIONS

The mortality rate of VHD among the US population has declined over the past 2 decades. This highlights the likely efficacy of increasing surveillance and advancement in the management of VHD, resulting in improved outcomes.

Blood Cell Ratios Unveiled: Predictive Markers of Myocardial Infarction Prognosis

BACKGROUND

Even if the management and treatment of patients with non-ST-elevation myocardial infarction (NSTEMI) have significantly evolved, it is still a burgeoning disease, an active volcano with very high rates of morbidity and mortality. Therefore, novel management and therapeutic strategies for this condition are urgently needed. Lately, theories related to the role of various blood cells in NSTEMI have emerged, with most of this research having so far been focused on correlating the ratios between various leukocyte types (neutrophil/lymphocyte ratio-NLR, neutrophil/monocyte ratio-NMR). But what about erythrocytes? Is there an interaction between these cells and leukocytes, and furthermore, can this relationship influence NSTEMI prognosis? Are they partners in crime?

METHODS

Through the present study, we sought, over a period of sixteen months, to evaluate the neutrophil/red blood cell ratio (NRR), monocyte/red blood cell ratio (MRR) and lymphocyte/red blood cell ratio (LRR), assessing their potential role as novel prognostic markers in patients with NSTEMI.

RESULTS

There was a statistically significant correlation between the NRR, LRR, MRR and the prognosis of NSTEMI patients.

CONCLUSIONS

These new predictive markers could represent the start of future innovative therapies that may influence crosstalk pathways and have greater benefits in terms of cardiac repair and the secondary prevention of NSTEMI.

Disease incidence and not case fatality drives the rural disadvantage in myocardial-infarction-related mortality in Germany

OBJECTIVE

Demographic and infrastructural developments might compromise medical care provision in rural regions, particularly for acute health conditions. Studying the case of myocardial infarction (MI), we investigated how MI-related mortality at ages 65+ varies between rural and urban regions in Germany and to what extent differences are driven by varying case fatality and disease incidence.

METHODS

The study relies on data containing all hospitalizations, cause-specific deaths and population counts for the total German population between years 2012-2018 and ages 65+. MI-related mortality, MI incidence and case fatality are compared between urban and rural regions in a population-wide analysis. The impacts of changing incidence and case fatality on rural-urban MI-related mortality differences are assessed using a counterfactual approach.

RESULTS

Rural regions in Germany show systematically higher MI-related death rates and MI incidence at ages 65+ compared to urban regions. Higher mortality is primarily the result of higher MI incidence in rural regions, while case fatality is largely similar. The rural excess in MI-related death rates would be nullified and 1 out of 6 MI-related deaths in rural regions could be prevented if rural regions in Germany would have at least the median MI incidence of urban regions.

CONCLUSIONS

MI incidence and not case fatality drives the rural disadvantage in MI-related mortality in Germany. Higher MI incidence points towards potential regional variation in the effectiveness of disease prevention. The findings highlight that improving disease prevention at the patient level carries larger opportunities for reducing regional MI-related mortality inequalities in Germany.

Ambient particulate matter and in-hospital case fatality of acute myocardial infarction: A multi-province cross-sectional study in China

The acute myocardial infarction (AMI) outcomes have been extensively linked with ambient particulate matter (PM). However, whether a smaller particle has greater impact and the consequent attributable burden associated with PM of different sizes remain unclear. We conducted a multi-province cross-sectional study among AMI patients using the inpatient discharge datasets from four Chinese provinces (Shanxi, Sichuan, Guangxi, and Guangdong) from 2014 to 2019. Ambient PM exposure for each patient was assessed using the ChinaHighAirPollutants dataset. We employed the mixed-effects logistic regression models to evaluate the association of PM of different sizes (PM1, PM2.5, PM10) on in-hospital case fatality. The potential reducible fractions in in-hospital case fatality were estimated through counterfactual analyses. Of 177,749 participants, 125,501 (70.6 %) were male and the in-hospital case fatality rate was 4.9%. For short-term (7-day average) exposure, the odds ratios (ORs) for PM1, PM2.5, and PM10 (per 10 µg/m3) were 1.052 (95 % confidence interval [CI], 1.032-1.071), 1.026 (95 % CI, 1.014-1.037), and 1.016 (95% CI, 1.008-1.024), respectively. The estimated ORs for long-term exposure (annual average) were 1.303 (95 % CI, 1.252-1.356) for PM1, 1.209 (95 % CI, 1.178-1.241) for PM2.5, 1.157 (95 % CI, 1.134-1.181) for PM10. Short-term exposure to PM1 showed the highest potential reducible fraction (8.5 %, 95 % CI, 5.0-11.7 %), followed by PM2.5 and PM10, while the greatest potential reducible fraction of long-term exposure was observed in PM10 (30.9 %, 95 % CI, 27.2-34.4%), followed by PM2.5 and PM1. In summary, PM with smaller size had a more pronounced impact on in-hospital AMI case fatality, with PM1 exhibiting greater effects than PM2.5 and PM10. Substantial health benefits for AMI patients could be achieved by mitigating ambient PM exposure.

Sex, Racial, and Geographic Disparities in Pulmonary Embolism-related Mortality Nationwide

Rationale: Acute pulmonary embolism is a leading cause of cardiovascular death. There are limited data on the national mortality trends from pulmonary embolism. Understanding these trends is crucial for addressing the mortality and associated disparities associated with pulmonary embolism. Objectives: To analyze the national mortality trends related to acute pulmonary embolism and determine the overall age-adjusted mortality rate (AAMR) per 100,000 population for the study period and assess changes in AAMR among different sexes, races, and geographic locations. Methods: We conducted a retrospective cohort analysis using mortality data of individuals aged ⩾15 years with pulmonary embolism listed as the underlying cause of death in the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database from January 2006 to December 2019. These data are produced by the National Center for Health Statistics. Results: A total of 109,992 pulmonary embolism-related deaths were noted in this dataset nationwide between 2006 and 2019. Of these, women constituted 60,113 (54.7%). The AAMR per 100,000 was not significantly changed, from 2.84 in 2006 to 2.81 in 2019 (average annual percentage change [AAPC], 0.2; 95% confidence interval [CI], -0.1 to 0.5; P = 0.15). AAMR increased for men throughout the study period compared with women (AAPC, 0.7 for men; 95% CI, 0.3 to 1.2; P = 0.004 vs. AAPC, -0.4 for women; 95% CI, -1.1 to 0.3; P = 0.23, respectively). Similarly, AAMR for pulmonary embolism increased for Black compared with White individuals, from 5.18 to 5.26 (AAPC, 0.4; 95% CI, 0.0 to 0.7; P = 0.05) and 2.82 to 2.86 (AAPC, 0.0; 95% CI, -0.6 to 0.6; P = 0.99), respectively. Similarly, AAMR for pulmonary embolism was higher in rural areas than in micropolitan and large metropolitan areas during the study period (4.07 [95% CI, 4.02 to 4.12] vs. 3.24 [95% CI, 3.21 to 3.27] vs. 2.32 [95% CI, 2.30-2.34], respectively). Conclusions: Pulmonary embolism mortality remains high and unchanged over the past decade, and enduring sex, racial and socioeconomic disparities persist in pulmonary embolism. Targeted efforts to decrease pulmonary embolism mortality and address such disparities are needed.

Concurrent Cardio-Cerebral Infarctions in COVID-19: A Systematic Review of Published Case Reports/Series

Twelve CCI patients were studied with confirmed or suspected COVID-19 infection. The majority of these patients were males (83.3%) with a median age of 55 years from three geographical locations, constituting the Middle East (7), Spain (3), and the USA (1). In 6 patients, IgG/IgM was positive for COVID-19, 4 with high pretest probability and 2 with positive RT-PCR. Type 2 DM, hyperlipidemia, and smoking were the primary risk factors. Right-sided neurological impairments and verbal impairment were the most common symptoms. Our analysis found 8 (66%) synchronous occurrences. In 58.3% of cases, neuroimaging showed left Middle Cerebral Artery (MCA) infarct and 33.3% right. Carotid artery thrombosis (16.6%), tandem occlusion (8.3%), and carotid stenosis (1%) were also reported in imaging. Dual antiplatelet therapy (DAPT) and anticoagulants were conservative therapies (10). Two AMI patients had aspiration thrombectomy, while three AIS patients had intravenous thrombolysis/tissue plasminogen activator (IVT-tPA), 2 had mechanical thrombectomy (MT), and 1 had decompressive craniotomy. Five had COVID-19-positive chest X-rays, whereas 4 were normal. four of 8 STEMI and 3 NSTEMI/UA patients complained chest pain. LV, ICA, and pulmonary embolism were further complications (2). Upon discharge, 7 patients (70%) had residual deficits while 1 patient unfortunately died.

Trends and Outcomes of ST-Segment-Elevation Myocardial Infarction Among Young Women in the United States

Background Although there has been a decrease in the incidence of ST-segment-elevation myocardial infarction (STEMI) in the United States, this trend might be stagnant or increasing in young women. We assessed the trends, characteristics, and outcomes of STEMI in women aged 18 to 55 years. Methods and Results We identified 177 602 women aged 18 to 55 with the primary diagnosis of STEMI from the National Inpatient Sample during years 2008 to 2019. We performed trend analyses to assess hospitalization rates, cardiovascular disease (CVD) risk factor profile, and in-hospital outcomes stratified by three age subgroups (18-34, 35-44, and 45-55 years). We found STEMI hospitalization rates were decreased in the overall study cohort from 52 per 100 000 hospitalizations in 2008 to 36 per 100 000 in 2019. This was driven by decreased proportion of hospitalizations in women aged 45 to 55 years (74.2% to-71.7%; P<0.001). Proportion of STEMI hospitalizationincreased in women aged 18-34 (4.7%-5.5%; P<0.001) and 35-44 years (21.2%-22.7%; P<0.001). The prevalence of traditional and non-traditional female-specific or female-predominant CVD risk factors increased in all age subgroups. The adjusted odds of in-hospital mortality in the overall study cohort and age subgroups were unchanged throughout the study period. Additionally, we observed an increase in the adjusted odds of cardiogenic shock, acute stroke, and acute kidney injury in the overall cohort over the study period. Conclusions STEMI hospitalizations are increasing among women aged <45 years, and in-hospital mortality has not changed over the past 12 years in women aged <55 years. Future studies on the optimization of risk assessment and management of STEMI in young women are urgently needed.

Excess risk for acute myocardial infarction mortality during the COVID-19 pandemic

The COVID-19 pandemic has had a detrimental impact on the healthcare system. Our study armed to assess the extent and the disparity in excess acute myocardial infarction (AMI)-associated mortality during the pandemic, through the recent Omicron outbreak. Using data from the CDC's National Vital Statistics System, we identified 1 522 669 AMI-associated deaths occurring between 4/1/2012 and 3/31/2022. Accounting for seasonality, we compared age-standardized mortality rate (ASMR) for AMI-associated deaths between prepandemic and pandemic periods, including observed versus predicted ASMR, and examined temporal trends by demographic groups and region. Before the pandemic, AMI-associated mortality rates decreased across all subgroups. These trends reversed during the pandemic, with significant rises seen for the youngest-aged females and males even through the most recent period of the Omicron surge (10/2021-3/2022). The SAPC in the youngest and middle-age group in AMI-associated mortality increased by 5.3% (95% confidence interval [CI]: 1.6%-9.1%) and 3.4% (95% CI: 0.1%-6.8%), respectively. The excess death, defined as the difference between the observed and the predicted mortality rates, was most pronounced for the youngest (25-44 years) aged decedents, ranging from 23% to 34% for the youngest compared to 13%-18% for the oldest age groups. The trend of mortality suggests that age and sex disparities have persisted even through the recent Omicron surge, with excess AMI-associated mortality being most pronounced in younger-aged adults.